{"id":"W2226943868","doi":"","title":"IMPLEMENTASI CONTROL OBJECTIVES FOR INFORMATION AND RELATED TECHNOLOGY TERHADAP AUDIT INTERNAL DI INDONESIA","year":2013,"lang":"en","type":"article","venue":"JURNAL AKUNTANSI UNESA","topic":"Blockchain Technology in Education and Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"COBIT; Audit; Internal control; Business; Internal audit; Control (management); Information technology audit; Process management; Accounting; Control environment; Information technology; Transparency (behavior); Corporate governance; Operations management; Computer science; Engineering; Joint audit; Computer security; Finance","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002284087,0.0001547627,0.0001911028,0.0004866683,0.0002292471,0.0001807417,0.0004870002,0.0001851687,0.00003235981],"category_scores_gemma":[0.00008779393,0.0001377618,0.00004833137,0.0004199068,0.0001248118,0.0009655401,0.0001254904,0.0003520552,0.00003817319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006679446,"about_ca_system_score_gemma":0.00007168194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002683462,"about_ca_topic_score_gemma":0.000004508601,"domain_scores_codex":[0.9988841,0.00003800174,0.000412957,0.0002231187,0.0001326564,0.0003091738],"domain_scores_gemma":[0.9990997,0.0001067707,0.000271733,0.0002503367,0.0001997238,0.00007173187],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00003487612,0.0001328273,0.1700515,0.00004722116,0.0002334278,0.000006268499,0.003203623,0.00005663255,0.003638781,0.3240374,0.002953732,0.4956037],"study_design_scores_gemma":[0.01255465,0.002051043,0.6294401,0.0002375781,0.0001233993,0.002669621,0.01117232,0.1086921,0.008746636,0.1290983,0.09352896,0.001685298],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6263527,0.0001844688,0.3450499,0.02544416,0.0008225912,0.0008810356,0.00000397135,0.0005387032,0.0007224994],"genre_scores_gemma":[0.993905,0.00001314616,0.005069579,0.0006862022,0.00003915782,0.0001822676,0.000004349255,0.000007849257,0.00009245476],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4939184,"threshold_uncertainty_score":0.5617765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003707746273772604,"score_gpt":0.2290374418231191,"score_spread":0.2253296955493465,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}